Jobs at Anthropic

The Data Engineer will build data foundations to monitor AI systems for safety, develop pipelines, and ensure data reliability while collaborating with various teams.

The Staff Infrastructure Engineer will lead the strategy for agent-driven cluster lifecycle management, ensuring secure and scalable compute systems while mentoring junior engineers.

The Staff Software Engineer will enhance Kubernetes scheduling for multi-cloud environments, design core services, ensure reliability, and collaborate with various teams to optimize performance.

Responsible for managing the lifecycle of accelerator capacity, developing AI infrastructure, and driving cross-team initiatives while ensuring operational excellence and mentoring engineers.

The Recruiting Coordinator will manage the scheduling of interviews, communicate with candidates, and improve recruitment processes while supporting the hiring team. This role is essential for enhancing candidate experience and streamlining recruiting efforts.

Join the Pretraining team to design and implement model architectures, optimizers, and data pipelines; run and analyze experiments; scale and optimize training infrastructure; and develop tooling across the stack to advance large language model research and production.

The Partner Commercial Programs Lead will design and govern commercial frameworks for partner channels, manage incentive qualifications, adjudicate conflicts, and interface with Legal and Finance to ensure alignment with business needs. This role requires extensive experience in partner operations and commercial strategy.

The Policy Counsel will support AI governance frameworks, analyze legislative developments, and provide legal guidance on policy matters in AI technology.

Manage and optimize complex enterprise deals by performing financial analysis, structuring deals, coordinating approvals across sales/finance/legal, assessing risk, implementing deal policies, and developing scalable deal desk processes and reporting.

The role involves building and maintaining critical systems for AI inference, optimizing compute efficiency, and supporting research and deployment of AI models.

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

As the International Readiness Lead, you'll manage the deployment of AI systems in compliance with data residency and localization needs while collaborating with various teams to establish market strategies and build internal processes for international readiness.

Lead Partnership Strategy & Operations for International markets, authoring GTM strategy, managing forecasts, and overseeing operating rhythm with a focus on cross-regional initiatives.

The Applied AI Engineer will advise startups on using Claude, providing technical support for product development, architectural designs, and documentation while collaborating within the team and fostering community engagement.

The Commercial Counsel will support complex negotiations, draft agreements, and provide legal guidance for AI deployment in EMEA, ensuring compliance and minimizing risks.

As a Research Engineer in Reinforcement Learning, you will develop and optimize RL infrastructure, push boundaries in AI research, and collaborate on scalable systems for large language models.

Lead sales strategy and operations across industry verticals, developing go-to-market strategies, analyzing market dynamics, and collaborating cross-functionally to achieve revenue growth.

As a Transaction Principal at Anthropic, you'll lead commercial sourcing and transaction execution for European data center capacity deals, managing stakeholder alignment and negotiations while navigating country-specific requirements.

The role involves optimizing training for large language models, debugging complex issues, designing experiments, and maintaining production infrastructure, while managing operational challenges during launches.

The Research Engineer will develop large language models, design experiments, optimize training infrastructure, and improve team productivity while balancing research and engineering.